Daniel M. Stoebel
Molecular Biology · 2016
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 21 citations into it; #12,211 of 17,773 by trust here, #16,854 by citations
- Cancer Research — 6 citations into it
Whom Daniel M. Stoebel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Daniel M. Stoebel overall
Papers from Daniel M. Stoebel's perspective
Ordered by how strongly the researchers Daniel M. Stoebel trusts endorse each paper. Same corpus, a different order for every researcher.
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
- GC-Content Normalization for RNA-Seq Data (BMC Bioinformatics)
- Normalization, testing, and false discovery rate estimation for RNA-sequencing data. (Biostatistics)
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)